Overview
Kristin Stephens-Martinez is an Assistant Professor of the Practice at Duke University in the Computer Science Department. She received her Ph.D. in Computer Science from UC Berkeley. Her research lies at the intersection of education and computer science focusing on using data available in large classrooms. Her specific research interest is examining data from course tools, with the goal to find interpretable data-driven insights that inform interventions to improve learning. Her more recent work involved applying mixed methods to constructed response wrong answers from "What would Python display?" question sets. From this analysis, she identified common student errors, which led to an in situ experiment that tested the effectiveness of different kinds of hints.
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Recent Publications
Rethinking computing students’ help resource utilization through sequentiality
Journal Article ACM Transactions on Computing Education · February 19, 2025 Background . Academic help-seeking benefits students’ achievement, but existing literature either studies important factors in students’ selection of all help resources via self-reported surveys or st ... Full text CiteStudent Perceptions of the Help Resource Landscape
Conference Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 · February 12, 2025 Full text CiteThe Trees in the Forest: Characterizing Computing Students' Individual Help-Seeking Approaches
Conference ICER 2024 - ACM Conference on International Computing Education Research · August 13, 2024 Background and Context. Academic help-seeking is vital to post-secondary computing students' effective learning. However, most empirical works in this domain study students' help resource selection and utilization by aggregating the entire student body as ... Full text CiteRecent Grants
Collaborative Research: Characterizing and empowering student success when traversing the academic help landscape
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027IIS: Small: Helping Novices Learn and Debug Relational Queries
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2020 - 2024CUE: Collaborative Research: Effective Peer Teaching Across Computing Pathways
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2023View All Grants